An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care
NCT ID: NCT06182332
Last Updated: 2025-04-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
221 participants
INTERVENTIONAL
2023-12-11
2024-07-26
Brief Summary
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Detailed Description
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I. To pilot an oncology risk prediction model to identify patients who may benefit from outpatient palliative care consultation to improve symptom management and goal-concordant care in this population.
OUTLINE:
Patients' medical records are reviewed for consideration of palliative care consult using AI algorithm once a week (QW) for 6 months.
Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
NONE
Study Groups
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Screening (AI algorithm)
Patients' medical records are reviewed for consideration of palliative care consult using AI algorithm QW for 6 months.
Electronic Health Record Review
Undergo medical record review
Internet-Based Intervention
Use AI algorithm
Interventions
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Electronic Health Record Review
Undergo medical record review
Internet-Based Intervention
Use AI algorithm
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients under the age of 18 years
* Patients currently enrolled with hospice
18 Years
ALL
No
Sponsors
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Mayo Clinic
OTHER
Responsible Party
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Principal Investigators
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Rachel D. Havyer, MD
Role: PRINCIPAL_INVESTIGATOR
Mayo Clinic in Rochester
Locations
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Mayo Clinic in Rochester
Rochester, Minnesota, United States
Countries
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Related Links
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Mayo Clinic Clinical Trials
Other Identifiers
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NCI-2023-09943
Identifier Type: REGISTRY
Identifier Source: secondary_id
23-008371
Identifier Type: OTHER
Identifier Source: secondary_id
23-008371
Identifier Type: -
Identifier Source: org_study_id
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